All-scenario Intelligent Store

Full-scenario Intelligent Store

How to upgrade the software and hardware, renovate the stores, and achieve a double improvement in operational efficiency and consumer experience?

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Scheme Introduction Industry Background Solution Advantages Product Module Related solutions Relevant cases

Scheme Introduction

Based on advanced technologies such as artificial intelligence, Internet of Things, and big data, it provides an all-round intelligent upgrade of people, goods, and venues for the omni-channel operation of stores both online and offline, improving operational efficiency and consumer satisfaction.

Industry Background

Consumers are demanding higher and higher online and offline shopping experiences. Physical retail stores need to cope with challenges with limited human resources, venue and other resources, and also require more refined and intelligent operations to replace the extensive manual management to reduce costs. At the same time, by introducing intelligent equipment and technologies, stores can provide a more convenient shopping experience to attract an increase in customer flow.

Solution Advantages

Hardware and software integration, one-stop service

Provide a full set of DMALL AIoT solutions including cashiering, loss prevention, energy management, and automatic cleaning.

Data-driven Decision Making

Collect and analyze a large amount of real-time data, conduct remote monitoring, AI analysis, task assignment to individuals, and achieve automatic closed-loop, facilitating refined operation and management.

Expand sales opportunities

Personalized marketing is carried out with intelligent shopping guides, sample distribution, customer service, etc.; 24-hour business is achieved at low cost by using technologies such as self-service shopping and remote cloud值守 (cloud on-duty). （注：“值守”这个词直接翻译成英文可能不太准确，这里为了满足任务要求进行了直译，更准确的表达可能需要根据具体语境进行调整）

Safe from loss prevention

Using technologies such as video surveillance, face recognition, temperature sensing, and behavior analysis to automatically send App alerts for store anomalies.